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This role is based remotely but if you live within a 50-mile radius of [Austin, Detroit, Milford or Mountain View], you are expected to report to that location three times a week, at minimum. We are looking for a Staff Software Developer to lead the design and implementation of our in-vehicle data plane, control plane, and embedded logging infrastructure. You will architect and build high throughput, low latency pipelines that reliably move telemetry, commands, and logs between resource constrained ECUs, vehicle platforms (QNX, Android, Linux), and cloud services.
Job Responsibility:
Design, implement, and evolve in-vehicle data, control, and logging pipelines spanning various controllers and cloud endpoints
Optimize embedded data and logging infrastructure for high throughput, low latency, and predictable resource usage (CPU, RAM, flash, network)
Develop and own reusable libraries/SDKs and plugins (e.g., collectors, filters, exporters) that teams use to integrate with the data and logging planes
Integrate vehicle infrastructure with backend data sinks (e.g., Azure, GCP, S3 or equivalent object/streaming stores), ensuring reliability, security, and cost effective data flows
Define and implement control plane APIs and protocols for configuration, data routing, logging policies, and remote operations, with strong safety and security boundaries
Collaborate with platform, security, DevOps, and analytics teams to design end-to-end observability and data flows from device to cloud
Profile, monitor, and troubleshoot embedded software to drive systemic improvements in performance, reliability, and debuggability
Lead technical design and code reviews, mentor other engineers, and drive cross organizational initiatives around data and observability standards
Contribute to or leverage key open source technologies (e.g., Fluent Bit, OpenTelemetry, MQTT, gRPC, protocol/tooling around observability and data pipelines) through issue reporting, design discussions, documentation, or patches as appropriate
Requirements:
Bachelor’s degree in Computer Science, Electrical/Computer Engineering, or related field (or equivalent practical experience)
8+ years of hands-on development experience in C/C++ building production systems
strong skills in memory management, concurrency, and performance optimization
Experience building data intensive, streaming, or logging/observability pipelines
Embedded OS experience with one or more of: QNX, Linux, Android/Android Automotive, or similar RTOS class platforms
Solid understanding of logging and data processing principles: structured logging, sampling, batching, buffering, compression, on device storage, and failure handling
Expert understanding of vehicle communication protocols, including UDS, CAN, SOME/IP, XCP, and how they are used for diagnostics, configuration, and control
Solid understanding of AUTOSAR (Classic and/or Adaptive) concepts and how they constrain software and communication patterns
Demonstrated experience leading complex cross organizational initiatives and influencing technical direction beyond your immediate team
Proven track record as an expert software engineer who can take features from concept through design, implementation, test, and production rollout
Strong debugging and problem solving skills across process boundaries, networks, and hardware/software interactions
Excellent communication skills and the ability to collaborate effectively with engineers, architects, and stakeholders across domains
Experience shipping and operating software in production environments, ideally with safety or mission critical aspects
Nice to have:
Hands on experience with observability and dataplane technologies such as Fluent Bit, OpenTelemetry/OTLP, MQTT, gRPC, custom collectors/exporters, or similar
Understanding of network communication and security protocols, including TLS/mTLS, certificate and key management, authentication/authorization, and secure transport patterns in constrained environments
Familiarity with major cloud platforms (AWS, GCP, Azure) and their logging, metrics, and data streaming services
Experience designing and operating control planes (configuration management, feature flags, rate limiting, rollout strategies) for distributed or embedded systems
Experience building observability for embedded or edge systems, including on device metrics/logs/traces, remote configuration, and fleet level analysis
Contributions to open source projects in observability, networking, embedded systems, or data infrastructure
Experience with CI/CD pipelines and automation tools (e.g., Git/Gerrit, Jenkins, Azure DevOps, GitHub Actions) for embedded or cross compiled software
Background in software defined vehicle (SDV) platforms or complex automotive architectures is a strong plus